{"id":2006028,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:02006028","sets":["1164:1743124304038:1743124498358:1764305913205"]},"path":["1764305913205"],"owner":"80578","recid":"2006028","title":["LLMシミュレーションによるSNS炎上におけるトリガーノードとネットワークの相互作用"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2025-12-12"},"_buckets":{"deposit":"6624e53e-7756-407c-953e-9ab14ba03ae6"},"_deposit":{"id":"2006028","pid":{"type":"depid","value":"2006028","revision_id":0},"owners":[80578],"status":"published","created_by":80578},"item_title":"LLMシミュレーションによるSNS炎上におけるトリガーノードとネットワークの相互作用","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"LLMシミュレーションによるSNS炎上におけるトリガーノードとネットワークの相互作用","subitem_title_language":"ja"},{"subitem_title":"Trigger Nodes and Network Dynamics in LLM Simulations of Social Media Firestorms","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"DBS","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2025-12-12","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"工学院大学大学院工学研究科"},{"subitem_text_value":"工学院大学情報学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering, Kogakuin University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of informatics, Kogakuin University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/2006028/files/IPSJ-DBS25182001.pdf","label":"IPSJ-DBS25182001.pdf"},"date":[{"dateType":"Available","dateValue":"2027-12-12"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DBS25182001.pdf","filesize":[{"value":"1.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"13"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"74888d8e-b66c-4543-9a8f-beb50947ec27","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2025 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"益村,優輝"}]},{"creatorNames":[{"creatorName":"北山,大輔"}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yuki Masumura","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Daisuke Kitayama","creatorNameLang":"en"}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AB0006854X","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2760-0777","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"SNSにおける炎上は深刻な社会問題であるが，その発生メカニズムの解明は十分に進んでいない．本研究では，炎上の原因が投稿内容そのものではなく，ネットワーク構造や特定の影響者(トリガーノード)といった構造的要因に起因するという仮説を検証した．そのため，100体のLLMエージェントを用いたマルチエージェント・シミュレーションを構築した．ネットワーク構造(ER，WS，BA)，トリガーノードの数，そしてその配置(ランダム／ハブ)を系統的に変化させ，炎上発生への影響を分析した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Online firestorms on social networking services (SNS) have become a serious social issue, yet their underlying mechanisms remain insufficiently understood. This study tests the hypothesis that the emergence of firestorms is driven not by the content of posts but by structural factors such as network topology and the presence of specific influential nodes (trigger nodes). To examine this, we developed a multi-agent simulation consisting of 100 LLM-based agents. The simulation systematically varied network structures (ER, WS, BA), the number of trigger nodes, and their placement (random vs. hub) to analyze their effects on the emergence of firestorms.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告データベースとデータサイエンス（DBS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2025-12-12","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2025-DBS-182"}]},"relation_version_is_last":true,"weko_creator_id":"80578"},"updated":"2025-11-28T07:18:50.305384+00:00","created":"2025-11-28T07:18:44.504724+00:00","links":{}}